Internship Combining Analytical And Ml Models For Efficient Hw Performance Prediction - Saclay H/F CEA
- Saclay - 91
- Stage
- 6 mois
- Bac +5
- Industrie high-tech • Telecom
Les missions du poste
As an intern at the CEA, you will have the opportunity to work within a world-renowned research environment. Our teams consist of passionate and dedicated experts, providing an ideal setting for learning and collaboration. You will have access to state-of-the-art equipment and top-tier research resources to carry out your assignments. The work conducted may potentially lead to a scientific publication.
Context
The goal of this internship is to investigate hybrid performance modeling techniques that combine ML-based data-driven models with structured top-down analytical models.
What do we expect from you?
Using the CVA6, CVA6S, CVA6S+ architectural evolution as a case study, the internship will explore:
- Hybrid modeling: Combining simulation ML-driven performance insights with analytical architectural models.
- Transferability: Evaluating whether models developed for one hardware generation can be adapted to subsequent generations with limited retraining or recalibration.
- Design-space exploration: Assessing the ability of hybrid models to efficiently predict the impact of architectural modifications.
The internship aims to develop and evaluate a hybrid modeling methodology that balances accuracy, expressiveness, and transferability across hardware generations. The ultimate objective is to assess its potential for enabling flexible hardware design-space exploration, reducing reliance on costly cycle-accurate simulations.
References
[ISCA'25] Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion
[ICCAD'23] PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions
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Le profil recherché
- Required level: Master's degree or Engineering diploma
- Required Skills: Familiarity with AI, knowledge of computer architecture, proficiency in Python and C/C++, and experience with Git
- Other Qualities: Collaborative mindset and a genuine curiosity
Les avantages
- Télétravail jusqu’à 3 jours par semaine
- 52 jours de congés/RTT
- Possibilité d’aménagement du temps de travail
- Formation personnalisée
- Restauration d’entreprise
- Offre de transport interne et prise en charge Navigo and co,
- Mutuelle d’entreprise avantageuse
- CE (aides vacances, loisirs, frais de garde, scolarité des enfants etc
Les étapes de recrutement
Les étapes de recrutement peuvent varier selon l'offre à laquelle vous postulez.
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Dépôt de CV via notre site carrière
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Préqualification téléphonique
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Entretiens et évaluation avec manager et RH
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Négociation salariale et contrat de travail
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Embauche et intégration
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Publiée le 19/10/2026 - Réf : 2026-42085